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Cited by 242

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Experimental demonstration of a broadband all-dielectric metamaterial perfect reflector

Moitra, Parikshit, Slovick, Brian A., Gang Yu, Zhi, Krishnamurthy, S., Valentine, Jason·2014·Applied Physics Letters

Abstract

All-dielectric metamaterials utilizing Mie resonances in high-permittivity dielectric resonators offer a low-loss alternative to plasmonic metamaterials. Here we present the demonstration of a single-negative all-dielectric metamaterial, comprised of a single layer of cylindrical silicon resonators on a silicon-on-insulator substrate, that possesses peak reflectance over 99% and an average reflectance over 98% across a 200 nm wide bandwidth in the short-wavelength infrared region. The study is also extended to disordered metamaterials, demonstrating a correlation between the degree of disorder and the reduction in reflectance. It is shown that near-unity reflection is preserved as long as resonator interaction is avoided. Realization of near-unity reflection from disordered metamaterials opens the door to large-area implementations using low-cost self-assembly based fabrication techniques.

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Metadata

Authors
Moitra, P., Slovick, B. A., Gang Yu, Z., Krishnamurthy, S., & Valentine, J.
Venue
Applied Physics Letters
Published
2014-04-28
Volume
104
Issue
17
ISSN
  • 0003-6951 (ISSN-L)
  • 1077-3118
OpenAlex
W2038362025
Cited by
242
References
2
FWCI
8.64
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Experimental demonstration of a broadband all-dielectric metamaterial perfect reflector. https://app.cochat.ai/papers/10.1063/1.4873521
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Moitra, P., Slovick, B. A., Gang Yu, Z., Krishnamurthy, S., & Valentine, J. (2014). Experimental demonstration of a broadband all-dielectric metamaterial perfect reflector. Applied Physics Letters. https://doi.org/10.1063/1.4873521

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.